Evidence map›Paper›PMID 39401965›Full record

ArticleBMJ open2024

Artificial intelligence-based CT-free quantitative thyroid SPECT for thyrotoxicosis: study protocol of a multicentre, prospective, non-inferiority study.

Dongkyu Oh, Hyun Gee Ryoo, Hyun Woo Chung, Sang-Geon Cho, Kyounghyoun Kwon, Ji Hye Kim, Young So, Jae Hoon Moon, Soyeon Ahn, Won Woo Lee

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Prognostic significance of early cortical functional integrity measured byEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Dongkyu Oh *Department of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0002-7935-3479
Hyun Gee Ryoo *Department of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0001-5020-5846
Hyun Woo ChungDepartment of Nuclear Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4167-3060
Sang-Geon ChoDepartment of Nuclear Medicine, Chonnam National University Hospital and Medical School, Gwangju, Republic of Korea.ORCID http://orcid.org/0000-0002-1373-1887
Kyounghyoun KwonDepartment of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0002-4969-9655
Ji Hye KimDepartment of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0009-0009-2393-0861
Young SoDepartment of Nuclear Medicine, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0009-3825-8422
Jae Hoon MoonDepartment of Internal Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0001-6327-0575
Soyeon AhnMedical Research Collaborating Center, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0003-3440-2027
Won Woo LeeDepartment of Nuclear Medicine, Seoul National University Bundang Hospital, Seongnam-si, Gyeonggi-do, Republic of Korea wwlee@snubh.org.ORCID http://orcid.org/0000-0002-9188-6921

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTechnetium thyroid uptake (TcTU) measured by single-photon emission CT/CT (SPECT/CT) is an important diagnostic tool for the differential diagnosis of Graves' disease and destructive thyroiditis. Artificial intelligence (AI) may reduce CT-induced radiation exposure by substituting the role of CT in attenuation correction (AC) and thyroid segmentation, thus realising CT-free SPECT. This study aims to compare the diagnostic accuracy for the differential diagnosis of thyrotoxicosis between CT-free SPECT and SPECT/CT. METHODS AND ANALYSIS: The AI-based CT-free SPECT is a single-blind, multicentre, prospective, non-inferiority, clinical trial with a paired design conducted in the Republic of Korea. Eligible participants are adult (≥19 years old) thyrotoxicosis patients without a previous history of hyperthyroidism or hypothyroidism. Approximately 160 subjects will be screened for quantitative thyroid SPECT/CT using Tc-99m pertechnetate. CT-free thyroid SPECT will be realised using only SPECT data by the trained convolutional neural networks. TcTU will be calculated by SPECT/CT and CT-free SPECT in each subject. The primary endpoint is the accuracy of diagnosing Graves' disease using TcTU. The trial will continue until 152 completed datasets have been enrolled to assess whether the 95% (two-sided) lower confidence limit of the accuracy difference (CT-free SPECT accuracy-SPECT/CT accuracy) for Graves' disease is greater than -0.1. The secondary endpoints include the accuracy of diagnosing destructive thyroiditis and predicting the need for antithyroid drug prescription within 1 month of the SPECT/CT. ETHICS AND DISSEMINATION: The study protocol has been approved by the institutional review board of Seoul National University Bundang Hospital (IRB No. B-2304-824-301), Konkuk University Medical Center (IRB No. 2023-05-022-006) and Chonnam National University Hospital (IRB No. CNUH-2023-108). Findings will be disseminated as reports, presentations and peer-reviewed journal articles. TRIAL REGISTRATION NUMBER: KCT0008387, Clinical Research Information Service of the Republic of Korea (CRIS).

Indexed as

Artificial IntelligenceThyrotoxicosisAdultDiagnosis, DifferentialEquivalence Trials as TopicFemaleGraves DiseaseHumansMaleMulticenter Studies as TopicProspective StudiesRepublic of KoreaSingle-Blind MethodSingle Photon Emission Computed Tomography Computed TomographyThyroid GlandThyroiditisartificial intelligenceclinical trialcomputed tomographynuclear medicinenuclear radiologythyroid disease

Identifiers

PMID39401965
PMCPMC11475049

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.